A system and method is presented for efficiently enforcing control limits in the calculation of powerflow studies of electrical power systems, using the Holomorphic Embedding Load-flow Method. The method applies to any automatic control in which the controlling resource is limited by a maximum or minimum value, such as Mvar limits in generators, the tap ratio in load-changing transformers, or real power output in AGC-participating generators. One key element of this invention consists in devising an equality constraint, holomorphically embedded, able to encode the switching behavior between the different control modes when limit thresholds are reached. The other key element is a novel analytic continuation scheme, here referred to as “Padé-Weierstrass”, which achieves the continuation to s=1 by means of several intermediate steps of power series re-expansions on the path from s=0 to s=1 in embedding parameter space. This technique exploits the great numerical stability of Padé approximants, which in the particular case of the power-flow problem have guaranteed convergence properties granted by Stahl's theorem. The Padé-Weierstrass technique provides the level of precision and numerical stability that is needed to perform the analytic continuation up to s=1 under the new equality constraint. The result is a greatly improved computational efficiency in the calculation of large powerflow studies in which control limits need to be enforced.
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1. A method, comprising: generating a mathematical model of power flow equations for an electrical grid having load (PQ) buses and generator (PV) buses, the PQ buses and PV buses including control devices; expressing the power flow equations in terms of power series of the functions involved; embedding the mathematical model of the powerflow equations representing the electrical grid in a holomorphic embedding, the holomorphic embedding having a set of equality constraints for the electrical grid defining a linear system where variables of the powerflow equations are the coefficients at both PQ and PV buses; transcribing the holomorphic embedding into software for use in a computer processor adapted to execute the software; using the computer processor to compute an n-order algebraic approximant by means of Padé-Weierstrass approximants; using the computer processor to evaluate the n-order algebraic approximant for the power series as a solution to the powerflow equations; and displaying the solution to the powerflow equations as a measure of control of the electrical grid.
2. The method of claim 1 , further comprising: prior to holomorphically embedding the powerflow equations, receiving data from a supervisory and data acquisition system representative of conditions of the electrical grid associated with the powerflow equations.
3. The method of claim 2 , further comprising: forming the powerflow equations from the data received from the supervisory and data acquisition system.
4. The method of claim 1 , further comprising: solving the powerflow equations for the electrical grid using a load flow equation solver of the computer processor.
5. The method of claim 1 , wherein the Padé-Weierstrass approximants use diagonal sequences of approximants in the Padé table.
6. The method of claim 1 , further comprising: determining values of the voltages in the powerflow equations by using all power coefficients obtained up to order N to construct the Padé-Weierstrass approximants.
7. The method of claim 6 , further comprising: repeating the procedure for the next order in N until desired accuracy is met.
8. A system comprising: a power generating system having an electrical grid, wherein the electrical grid includes load (PQ) buses and generator (PV) buses, the PQ buses and PV buses including control devices; a supervisory control and data acquisition system adapted to collect data from the electrical grid indicative of electrical conditions in the electrical grid; and a computer processor adapted to execute software comprising executable computer instructions to: generate a mathematical model of power flow equations for the electrical grid; process data received from the supervisory control and data acquisition system into powerflow equations representing the electrical grid using the mathematical model; express the power flow equations in terms of power series of the functions involved; embed the mathematical model of the powerflow equations representing the electrical grid in a holomorphic embedding, the holomorphic embedding having a set of equality constraints for the electrical grid defining a linear system where variables of the powerflow equations are the coefficients at both PQ and PV buses; compute an n-order algebraic approximant by means of Padé-Weierstrass approximants; evaluate the n-order algebraic approximant for the power series as a solution to the powerflow equations; and display the solution to the powerflow equations as a measure of control of the electrical grid.
9. The system of claim 8 , wherein the computer processor further comprises a load flow equation solver solving the powerflow equations.
10. The system of claim 8 , wherein the Padé-Weierstrass approximants use diagonal sequences of approximants in the Padé table.
11. The system of claim 8 , wherein values of the voltages in the powerflow equations are determined by using all power coefficients obtained up to order N to construct the Padé-Weierstrass approximants.
12. The system of claim 8 , wherein the computer processor repeats the procedure for the next order in N until desired accuracy is met.
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December 11, 2017
October 6, 2020
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